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Top Rated
41 Ratings

RapidMiner Studio

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Top Rated
39 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101

RapidMiner Studio

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Top Rated
39 Ratings
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Score 8.5 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
Maike Holthuijzen profile photo

RapidMiner Studio

RapidMiner is really fantastic to perform fast ETL processes and work on your data as you want, no matter what is the source. You will really save a lot of time when you learn how to use it. You can create mining analysis with several algorithms, and thanks to add-ons, you can apply a lot of techniques. It will not replace a business intelligence dashboard but it allows to create great datamarts for your BI tools.One negative thing is that It's no easy to share your outputs.
David Baltar Boilève profile photo

Feature Rating Comparison

Data Exploration

Anaconda
7.5
RapidMiner Studio
9.0
Visualization
Anaconda
7.0
RapidMiner Studio
10.0
Interactive Data Analysis
Anaconda
8.0
RapidMiner Studio
8.0

Data Preparation

Anaconda
7.0
RapidMiner Studio
9.0
Interactive Data Cleaning and Enrichment
Anaconda
7.0
RapidMiner Studio
10.0
Data Transformations
Anaconda
8.0
RapidMiner Studio
10.0
Data Encryption
Anaconda
6.0
RapidMiner Studio
6.0
Built-in Processors
Anaconda
7.0
RapidMiner Studio
10.0

Platform Data Modeling

Anaconda
5.7
RapidMiner Studio
9.5
Automated Machine Learning
Anaconda
4.0
RapidMiner Studio
10.0
Single platform for multiple model development
Anaconda
7.0
RapidMiner Studio
10.0
Self-Service Model Delivery
Anaconda
6.0
RapidMiner Studio
8.0
Multiple Model Development Languages and Tools
Anaconda
RapidMiner Studio
10.0

Model Deployment

Anaconda
4.5
RapidMiner Studio
5.0
Flexible Model Publishing Options
Anaconda
5.0
RapidMiner Studio
5.0
Security, Governance, and Cost Controls
Anaconda
4.0
RapidMiner Studio

Platform Connectivity

Anaconda
RapidMiner Studio
10.0
Connect to Multiple Data Sources
Anaconda
RapidMiner Studio
10.0
Extend Existing Data Sources
Anaconda
RapidMiner Studio
10.0
Automatic Data Format Detection
Anaconda
RapidMiner Studio
10.0

Pros

  • Anaconda has iPython- Notebook that facilitates code writing in Python
  • It's very easy to install tour preferred the Python version
  • The risk of messing up the libraries is completely eliminated
Mauricio Quiroga-Pascal Ortega profile photo
  • RapidMiner is really fast at reading all kinds of databases. We read and merge databases like SQL Server, Informix, MySQL, and Oracle. Configuring access is easy, some drivers are inbuilt, but it's not difficult to find new java drivers to allow RapidMiner to connect to other databases.
  • Performing all kinds of transformations, calculations (date, percentages...), joins, and filters without coding. We have several different databases and this makes my life a lot easier. Knowing that this part is 80% of analyst work, you know that you can work more on the analyses itself and not on cleaning and preparing data.
  • You can clone transformations to reuse on new analyses, so you save a lot of time. There's a lot of add-ons to make different things (text, image analysis, recommender systems, etc).
  • Training is easy, the tool is intuitive and there's a lot of videos on the internet. The community is very active.
David Baltar Boilève profile photo

Cons

  • It's hard to get security updates when you leave the system packages
  • There're some PyPI packages that Anaconda doesn't have. This obligates the user to package it by herself or using pip
  • Anaconda isn't as fast as PyPI publications
Mauricio Quiroga-Pascal Ortega profile photo
  • Export. It would be great to be able to export the resulting data, graphs and models in an easier way. Currently I find that not intuitive enough.
  • It would be wonderful (not sure if it fits the company business model) to have an API access, so people would be able to integrate some of RapidMiner functionalities inside their applications
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Likelihood to Renew

No score
No answers yet
No answers on this topic
RapidMiner Studio9.0
Based on 1 answer
Very fast and user-friendly tool
David Baltar Boilève profile photo

Usability

No score
No answers yet
No answers on this topic
RapidMiner Studio9.0
Based on 1 answer
Very use to use and learn
David Baltar Boilève profile photo

Alternatives Considered

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega profile photo
SPSS and SAS are too expensive. Their interfaces are excellent, but the price point is quite high making them inappropriate for higher education. KNIME is my second choice tool in this space, but it doesn't have the same long established english-speaking user community as Rapidminer. That means that when I am having a technical problem I am far more likely to find a solution
Rebecca T Barber, MBA, PHD profile photo

Return on Investment

  • It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
  • By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
  • There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
Mauricio Quiroga-Pascal Ortega profile photo
  • Reduce prototype development times.
  • Provide visualization ability.
  • Create classification models that are deployed in production.
Danushka Bandara profile photo

Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

RapidMiner Studio

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details